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Title of Journal: J Intell Manuf

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Abbravation: Journal of Intelligent Manufacturing

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Publisher

Springer US

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DOI

10.1007/0-306-47979-6_3

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ISSN

1572-8145

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Integrating lean and other strategies for mass cus

Authors: Brandon Stump Fazleena Badurdeen
Publish Date: 2009/07/17
Volume: 23, Issue: 1, Pages: 109-124
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Abstract

Mass customization MC manufacturing requires high flexibility to respond to customer needs in a timely manner Lean manufacturing principles can be easily applied to situations with low levels of MC However as the degree of customization increases and customer involvement occurs earlier in the design and fabrication stages the direct application of lean principles to maintain flow and low levels of inventory becomes difficult This paper presents a framework to show how other strategies such as Quick Response manufacturing/POLCA Theory of Constraints Flexible/Reconfigurable Manufacturing Systems etc can be integrated with lean in MC environments A case study of boat mass customizer is then used to demonstrate how their operations are transformed by for more efficient MC Simulation models are used to compare pre and postimprovement performance


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  2. Honey bees mating optimization algorithm for process planning problem
  3. Modeling, analysis and multi-objective optimization of twist extrusion process using predictive models and meta-heuristic approaches, based on finite element results
  4. On-line fault diagnosis of FMS based on flows analysis
  5. Predictive control architecture for real-time image moments based servoing of robot manipulators
  6. An intelligent simulation model of online consumer behavior
  7. A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition
  8. Condition based maintenance optimization considering multiple objectives
  9. On the robustness of joint production and maintenance scheduling in presence of uncertainties
  10. Extending the notion of quality from physical metrology to information and sustainability
  11. A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning
  12. Modelling and simulation of operation and maintenance strategy for offshore wind farms based on multi-agent system
  13. Mapping knowledge sharing traits to business strategy in knowledge based organisation
  14. Data mining in manufacturing: a review based on the kind of knowledge
  15. Intelligent assembly system for mechanical products and key technology based on internet of things
  16. Finite element modeling of low speed reaming vibrations with reamer geometry modifications
  17. A digital equipment identifier system
  18. On line prediction of surface defects in hot bar rolling based on Bayesian hierarchical modeling
  19. Manufacturing intelligence and innovation for digital manufacturing and operational excellence
  20. A comparison of machine learning methods for cutting parameters prediction in high speed turning process
  21. Mining manufacturing databases to discover the effect of operation sequence on the product quality
  22. Analysis of effectiveness and benefits of collaboration modes with information- and knowledge-sharing
  23. A federated approach to develop enterprise interoperability
  24. A multi-objective scheduling algorithm with self-evolutionary feature for job-shop-like knowledgeable manufacturing cell
  25. Steepest ant sense algorithm for parameter optimisation of multi-response processes based on taguchi design
  26. RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control
  27. Cloud computing as a facilitator for web service composition in factory automation
  28. Service-oriented architecture for ontologies supporting multi-agent system negotiations in virtual enterprise
  29. Machinery condition prediction based on wavelet and support vector machine
  30. A roadmap for implementing new manufacturing technology based on STEP-NC
  31. Performance evaluation of proposed Differential Evolution and Particle Swarm Optimization algorithms for scheduling m -machine flow shops with lot streaming

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